Analysis of target detection performance for wireless sensor networks

Qing Cao, Ting Yan, John Stankovic, Tarek Abdelzaher

Research output: Contribution to journalConference articlepeer-review


In surveillance and tracking applications, wireless sensor nodes collectively monitor the existence of intruding targets. In this paper, we derive closed form results for predicting surveillance performance attributes, represented by detection probability and average detection delay of intruding targets, based on tunable system parameters, represented by node density and sleep duty cycle. The results apply to both stationary and mobile targets, and shed light on the fundamental connection between aspects of sensing quality and deployment choices. We demonstrate that our results are robust to realistic sensing models, which are proposed based on experimental measurements of passive infrared sensors. We also validate the correctness of our results through extensive simulations.

Original languageEnglish (US)
Pages (from-to)276-292
Number of pages17
JournalLecture Notes in Computer Science
StatePublished - 2005
Externally publishedYes
EventFirst IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2005 - Marina del Rey, CA, United States
Duration: Jun 30 2005Jul 1 2005

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


Dive into the research topics of 'Analysis of target detection performance for wireless sensor networks'. Together they form a unique fingerprint.

Cite this